Epidemiology and Biostatistics: Biostatistics, MS
The goal of the MS program is to train students in the basic theory and applications of statistical methods, as applied to problems in the biomedical sciences. The program typically consists of two years of full-time study, including the preparation of a Master's thesis. Requirements include courses in probability, mathematical statistics, and statistical methods including linear models, longitudinal data analysis, survival analysis, statistical computing, and applied data analysis.
For more information: https://www.med.upenn.edu/ggeb/BioMSAcademics.shtml
View the University’s Academic Rules for Research Master's Programs.
Required Courses
Code | Title | Course Units |
---|---|---|
Coursework | ||
Theory Courses | ||
BSTA 6200 | Probability I | |
BSTA 6210 | Statistical Inference I | |
Methods Courses | ||
BSTA 6300 | Statistical Methods and Data Analysis I | |
BSTA 6320 | Statistical Methods for Categorical and Survival Data | |
BSTA 6510 | Introduction to Linear Models and Generalized Linear Models | |
BSTA 6560 | Longitudinal Data Analysis | |
BSTA 6600 | Design of Observational Studies | |
BSTA 6610 | Design of Interventional Studies | |
BSTA 6700 | Statistical Computing | |
BSTA 5110 | Biostatistics in Practice | |
Additional Coursework | ||
Advanced Electives |
The degree and major requirements displayed are intended as a guide for students entering in the Fall of 2024 and later. Students should consult with their academic program regarding final certifications and requirements for graduation.
Sample Plan of Study
Code | Title | Course Units |
---|---|---|
Year 1 | ||
Fall | ||
Probability I | ||
Statistical Methods and Data Analysis I | ||
Design of Observational Studies | ||
Design of Interventional Studies | ||
Spring | ||
Statistical Inference I | ||
Statistical Methods for Categorical and Survival Data | ||
Introduction to Linear Models and Generalized Linear Models | ||
Year 2 | ||
Fall | ||
Advanced Survival Analysis | ||
Longitudinal Data Analysis | ||
Biostatistics in Practice | ||
Advanced Elective | ||
Spring | ||
Statistical Computing | ||
Advanced Elective |